Modern Computational Environmental Science and Engineering - Improving Simulation Predictivity by Integrating Process Models and Data
Modern Computational Environmental Science and Engineering - Improving Simulation Predictivity by Integrating Process Models and Data
批准号:
419129317
负责人:
Professorin Dr. Julia Kowalski
金额:
$0.0万
依托单位国家:
德国
项目类别:
Heisenberg Grants
财政年份:
2020
资助国家:
德国
项目状态:
已结题
起止时间:
2019-12-31 至 2021-12-31
中文摘要
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英文摘要
The precondition for a Heisenberg Programme funding is high scientific quality and originality of the research project at international level and suitability for further qualification as a university teacher. Applicants need to meet all the requirements for appointment to a permanent professorship.The aim of this programme is to enable outstanding scientists to prepare for a scientific leadership function, and simultaneously work on further research topics. This research does not necessarily need to be planned and carried out in the form of a project.For this reason, and unlike the procedure in other funding programmes, both the abstracts of applications and final reports are not required and will therefore not be published in GEPRIS.
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会议论文
Compositional heterogeneities in the outer ice shell of Europa – a scale-coupled computational study
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批准号:460819306
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项目类别:Research Grants
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资助金额:$0.0万
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财政年份:--
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负责人:Professorin Dr. Julia Kowalski
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依托单位:
Improving the Predictivity of Simulating Natural Hazards due to Mass Movements – Optimal Design and Model Selection –
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批准号:441527981
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项目类别:Research Grants
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资助金额:$0.0万
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财政年份:--
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负责人:Professorin Dr. Julia Kowalski
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依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data
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批准号:60601030
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项目类别:青年科学基金项目
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资助金额:17.0万元
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批准年份:2006
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负责人:Axel Mosig
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依托单位: